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ReduCE: A Reduced Coulomb Energy Network Method for Approximate Classification
[chapter]
2009
Lecture Notes in Computer Science
In order to overcome the limitations of purely deductive approaches to the tasks of classification and retrieval from ontologies, inductive (instance-based) methods have been proposed as efficient and noise-tolerant alternative. In this paper we propose an original method based on non-parametric learning: the Reduced Coulomb Energy (RCE) Network. The method requires a limited training effort but it turns out to be very effective during the classification phase. Casting retrieval as the problem
doi:10.1007/978-3-642-02121-3_26
fatcat:66mh72nwbfantcke6rpkugq54q